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Conversational Game Theory
ctive Intelligence for AI and Human Consensus Conversational Game Theory is a formal game of messaging, replies and tagging between human or AI agents that addresses qualitative, reasoning-intensive challenges while synthesizing multiple perspectives through high stakes conflict resolution and consensus building through narrative structures and feedback loops. This functions as a collective intelligence messaging and composition system designed to handle subjective truths, conflict, collaboration, and complex human-AI interactions in consensus building that is interoperable with any system through an API layer.
As a complete system, Conversational Game Theory identifies a dynamic equilibrium between computational, cognitive and psychological states. We propose AI for Global Conflict Resolution as a public good that functions as an enhancement layer for LLMs, social media or governance platforms. Dedication: Professor Jim Fallon from UCI, Science Advisor and mentor to Conversational Game Theory for fifteen years.
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